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Water Environ Res . Development of a reverse transcriptase digital droplet polymerase chain reaction-based approach for SARS-CoV-2 variant surveill

tetano

Editor, Senior Moderator
Water Environ Res


. 2024 Mar;96(3):e10999.
doi: 10.1002/wer.10999. Development of a reverse transcriptase digital droplet polymerase chain reaction-based approach for SARS-CoV-2 variant surveillance in wastewater

Laura A E Van Poelvoorde[SUP] 1 [/SUP], Andrea Gobbo[SUP] 1 [/SUP], Sarah J D Nauwelaerts[SUP] 1 [/SUP], Bavo Verhaegen[SUP] 2 [/SUP], Marie Lesenfants[SUP] 3 [/SUP], Raphael Janssens[SUP] 3 [/SUP], Veronik Hutse[SUP] 3 [/SUP], Marie-Alice Fraiture[SUP] 1 [/SUP], Sigrid De Keersmaecker[SUP] 1 [/SUP], Philippe Herman[SUP] 4 [/SUP], Koenraad Van Hoorde[SUP] 2 [/SUP], Nancy Roosens[SUP] 1 [/SUP]



Affiliations
Abstract

An urgent need for effective surveillance strategies arose due to the global emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although vaccines and antivirals are available, concerns persist about the evolution of new variants with potentially increased infectivity, transmissibility, and immune evasion. Therefore, variant monitoring is crucial for public health decision-making. Wastewater-based surveillance has proven to be an effective tool to monitor SARS-CoV-2 variants within populations. Specific SARS-CoV-2 variants are detected and quantified in wastewater in this study using a reverse transcriptase digital droplet polymerase chain reaction (RT-ddPCR) approach. The 11 designed assays were first validated in silico using a substantial dataset of high-quality SARS-CoV-2 genomes to ensure comprehensive variant coverage. The assessment of the sensitivity and specificity with reference material showed the capability of the developed assays to reliably identify target mutations while minimizing false positives and false negatives. The applicability of the assays was evaluated using wastewater samples from a wastewater treatment plant in Ghent, Belgium. The quantification of the specific mutations linked to the variants of concern present in these samples was calculated using these assays based on the detection of single mutations, which confirms their use for real-world variant surveillance. In conclusion, this study provides an adaptable protocol to monitor SARS-CoV-2 variants in wastewater with high sensitivity and specificity. Its potential for broader application in other viral surveillance contexts highlights its added value for rapid response to emerging infectious diseases. PRACTITIONER POINTS: Robust RT-ddPCR methodology for specific SARS-CoV-2 variants of concern detection in wastewater. Rigorous validation that demonstrates high sensitivity and specificity. Demonstration of real-world applicability using wastewater samples. Valuable tool for rapid response to emerging infectious diseases.

Keywords: RT-ddPCR; SARS-CoV-2; VOC; mutation; variant detection; wastewater surveillance.

 
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